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We build autonomous AI agents and intelligent automation that qualify leads, answer customers, process documents, and run workflows — without human intervention. Powered by GPT-4o, LangChain and n8n, integrated with the tools you already use.
No obligation · Free scoping call · Delivery in days, not months
Built for
Teams losing 10+ hours a week to repetitive replies, lead triage, or document processing.
01
Agents that engage inbound leads on WhatsApp or web, qualify them, and book calls.
02
LLM chatbots trained on your docs that resolve queries and escalate when needed.
03
Extract, classify and summarise invoices, contracts and forms automatically.
What is AI automation?
AI automation is the use of large language models (LLMs) and AI agents to perform knowledge work autonomously — reading and replying to messages, qualifying leads, extracting data from documents, routing tasks, and making context-aware decisions. Unlike rigid rule-based automation, AI handles unstructured input and adapts to variation.
Talk to usAlways-on
24/7
Lead response time
<30s
Task throughput
10×
Routine work automated
90%+
AI automation uses large language models to handle tasks that previously required a human — understanding emails, qualifying leads, answering questions, and processing documents. GarunaCDX builds custom AI agents with GPT-4o, LangChain and n8n that run 24/7 and integrate with the tools you already use, freeing your team from repetitive busywork.
Lead response
An AI agent engages every new inbound lead within 30 seconds of contact, around the clock, in plain conversational language on WhatsApp or web.
Google PageSpeed · mobile
Customer support
An LLM chatbot trained on your documentation resolves common queries instantly and escalates only the cases that genuinely need a human decision.
Full HTML in first response — no blank shell
Document AI
Document AI extracts, classifies, and summarises invoices, contracts, and forms from any format — PDF, image, or email attachment — and outputs structured data.
Agentic workflows
Multi-step agentic workflows chain real actions across your tools: reading a message, making a decision, updating your CRM, sending a confirmation, and scheduling a follow-up.
WhatsApp AI
A WhatsApp Business API agent handles enquiries, qualifications, and bookings in natural language on the channel your customers are already on.
Internal copilot
A private AI copilot over your documents gives your team instant answers from internal knowledge — and cites exactly which document or record it drew from.
$ git push origin main
→ building…
→ 12 routes · 0 errors
✓ deployed to edge
Why choose us
Measurable outcomes, and a system your team can own after launch.
| Capability | AI automation | Traditional RPA |
|---|---|---|
| Unstructured data | Reads emails, docs, images | Breaks on anything non-standard |
| Adaptability | Adapts to variation & context | Rigid rules, breaks on change |
| Judgement tasks | Handles nuance and intent | Only fixed if-this-then-that |
| Maintenance | Self-adjusting with prompts | Re-scripting on every change |
AI agents reply to leads and customers in under 30 seconds, 24/7 — no missed enquiries overnight or on weekends.
Unlike rule-based bots, AI understands free-text emails, documents and images, and adapts when the input varies.
One agent handles hundreds of conversations in parallel, so volume spikes do not require hiring.
Agents absorb the repetitive, high-volume work so your people focus on judgement, relationships and growth.
Where your team is leaking hours
What an AI agent changes
How we ship AI automation
A proven phased approach — from scoping to post-launch support — that keeps you in control at every step.
We map the repetitive, high-volume tasks where AI delivers the most impact.
We build a working agent on your real data so you see results before committing.
We connect your tools and add monitoring, limits and human-in-the-loop checks.
We launch to production and refine prompts and accuracy with live feedback.
AI & automation stack
GarunaCDX builds ai automation on a modern, server-first stack chosen for speed, SEO, and ownership — so the system is fast on day one and yours to extend forever.
Agent & Orchestration
Knowledge & Data
Channels & Delivery
1–3 weeks (single agent) · 6–12 weeks (multi-agent)
For one high-impact task you want automated first.
For teams automating a whole workflow end-to-end.
For complex, multi-agent systems run in production.
Independent research on why speed, structure and server-rendering matter.
60–70%
of employee time is on activities generative AI could automate
McKinsey, 2023
<30s
lead response time, around the clock
GarunaCDX delivery benchmark
10×
task throughput versus manual handling
GarunaCDX delivery benchmark
Related services
Ready to get started?
Book a free scoping call. We will map the tasks eating your team’s time and show you exactly what an AI agent could take off their plate.
GarunaCDX Engineering Team
Software & AI engineers, Navi Mumbai
Reviewed by GarunaCDX Founding Team · Last updated June 2, 2026
